Outstanding claims reserves in general insurance are a type of technical reserve or accounting provision in the financial statements of an insurer. One of the most popular statistical methods in claims reserving is the Chain Ladder Method. This method, however, has been shown to suffer from several drawbacks. For example, it discards a significant amount of information, which may be important to accurately estimate the outstanding claims reserves. In this research, an alternative method, by using Archimedean copulas, is proposed to estimate the reserves. The copula method is then evaluated and compared with the chain ladder method based on a real data set. The findings show that the estimated outstanding claims reserves using the copula me...
Nowadays, insurance contract reserves for coupled lives are considered jointly, which has a signific...
After having described the mathematical background of copula functions we propose a scheme useful to...
Claims reserving methods usually use data aggregated into development triangles, therefore a lot of ...
One of the most important tasks that Property and Casualty insurers face is estimating the amount of...
In practice of an insurance company claims occur almost every day. But usually they are not reported...
Modelling the outstanding claims amount is critical to loss reserving for property-casualty insurers...
Abstract Claims reserving for general insurance business has developed significantly over the recent...
A Research Report submitted in Partial fulfillment of the award of Bachelor of Business Science in A...
There is proposed and described stochastic approach of calculation of IBNR reserve based on modellin...
Claims reserving and claims process estimation present classical problems in general insurance. The ...
After having described the mathematical background of copula functions we propose a scheme useful to...
This is a report on an exploration of the effectiveness of a novel non-parametric bootstrap method f...
We present a full Bayesian model for assessing the reserve requirement of multiline Non-Life insuran...
The increase in the use of copulas has introduced implementation issues for both practitioners and r...
Claims reserving for general insurance business has developed significantly over the recent past. Th...
Nowadays, insurance contract reserves for coupled lives are considered jointly, which has a signific...
After having described the mathematical background of copula functions we propose a scheme useful to...
Claims reserving methods usually use data aggregated into development triangles, therefore a lot of ...
One of the most important tasks that Property and Casualty insurers face is estimating the amount of...
In practice of an insurance company claims occur almost every day. But usually they are not reported...
Modelling the outstanding claims amount is critical to loss reserving for property-casualty insurers...
Abstract Claims reserving for general insurance business has developed significantly over the recent...
A Research Report submitted in Partial fulfillment of the award of Bachelor of Business Science in A...
There is proposed and described stochastic approach of calculation of IBNR reserve based on modellin...
Claims reserving and claims process estimation present classical problems in general insurance. The ...
After having described the mathematical background of copula functions we propose a scheme useful to...
This is a report on an exploration of the effectiveness of a novel non-parametric bootstrap method f...
We present a full Bayesian model for assessing the reserve requirement of multiline Non-Life insuran...
The increase in the use of copulas has introduced implementation issues for both practitioners and r...
Claims reserving for general insurance business has developed significantly over the recent past. Th...
Nowadays, insurance contract reserves for coupled lives are considered jointly, which has a signific...
After having described the mathematical background of copula functions we propose a scheme useful to...
Claims reserving methods usually use data aggregated into development triangles, therefore a lot of ...